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Numba supports CUDA GPU programming by directly compiling a restricted subset
of Python code into CUDA kernels and device functions following the CUDA
execution model. Kernels written in Numba appear to have direct access
to NumPy arrays. NumPy arrays are transferred between the CPU and the
GPU automatically.